Early breast cancer diagnosis is a challenging task for the radiologists without which the cancer death rate can be increased among women globally.Digitital mammography is the powerful technique which helps diagnosing breast cancers in premature stages preventing unnecessary biopsies and radiation treatments by proper screening and abnormality detection. The malignancy can be found in patients ...

Human has a duty to preserve the nature. One of the examples is preserving the ornamental plant. Huge economic value of plant trading, escalating esthetical value of one space, and medicine efficacy that contained in a plant are some positive values from this plant. However, only few people know about its medicine efficacy. Considering the easiness to obtain and the medicine efficacy, this plan...

forest classification on the basis of satellite images is a promising technique both for primary map production and for map updating and forest monitoring. for accurate for-est classification into three classes, using mapping by canopy cover density “high spatial resolution satellite images have to be used in order to obtain the required spatial detail” [schneider, 1999]. at the same time, the ...

Automatic Modulation Classification (AMC) is of paramount importance in wireless communication systems. Existing methods usually adopt a single category neural network or stack different categories networks series, and rarely extract types features simultaneously proper way. When it comes to the output layer, softmax function applied for classification expand inter-class distance. In this paper...

In the previous lecture, we saw that for a λ−strongly proper composite loss ψ, it is possible to bound the 0 − 1 regret in terms of its ψ−regret. Hence, for λ−strongly proper composite loss ψ, if we have a ψ− consistent algorithm, we can use it to obtain a 0 − 1 consistent algorithm. However, not all loss functions used as surrogates in binary classification are proper, the hinge loss being one...

We study proper rational maps from the unit disk to balls in higher dimensions. After gathering some known results, we study the moduli space of unitary equivalence classes of polynomial proper maps from the disk to a ball, and we establish a normal form for these equivalence classes. We also prove that all rational proper maps from the disk to a ball are homotopic in target dimension at least ...

Let T be a contraction and A the strong limit of {T∗nTn}n≥1. We prove the following theorem: if a hyponormal contraction T does not have a nontrivial invariant subspace, then T is either a proper contraction of class 00 or a nonstrict proper contraction of class 10 for which A is a completely nonprojective nonstrict proper contraction. Moreover, its self-commutator [T∗,T ] is a strict contracti...

Meta learning of optimal classifier error rates allows an experimenter to empirically estimate the intrinsic ability of any estimator to discriminate between two populations, circumventing the difficult problem of estimating the optimal Bayes classifier. To this end we propose a weighted nearest neighbor (WNN) graph estimator for a tight bound on the Bayes classification error; the Henze-Penros...

The most important decision for successful range management is setting a proper stocking rate. The stocking rate affects rangeland health and productivity, livestock production, and economic returns. Because of its importance, much rangeland research has focused on answering the question, "what is the proper stocking rate?" However, like many important questions in life, it is not easily answer...

In this paper, we describe the most recent implementation and evaluation of the proper noun categorization and standardization module of the DRLINK document detection system being developed at Syracuse University, under the auspices of ARPA's TIPSTER program. We also discuss the expansion of group common nouns and group proper nouns to enhance retrieval recall. Successful proper noun boundary i...